Interpreting Data: Definitions and Misconceptions

Exploration of different interpretations and definitions of data, including outputs from models and survey statistics. The discussion highlights the confusion between data and statistics in various contexts, emphasizing the importance of precise terminology in the field of data science. The chapter also touches on challenges with using synthetic data for training models and perturbing data to enhance quantity and model predictions, reflecting on the evolving landscape of data science.